Accurate grasp force control is one of the key skills for ensuring successful and damage-free robotic grasping of objects. Although existing methods have conducted in-depth research on slip detection and grasping force planning, they often overlook the issue of adaptive tracking of the actual force to the target force when handling objects with different material properties. The optimal parameters of a force tracking controller are significantly influenced by the object's stiffness, and many adaptive force tracking algorithms rely on stiffness estimation. However, real-world objects often exhibit viscous, plastic, or other more complex nonlinear time-varying behaviors, and existing studies provide insufficient support for these materials in terms of stiffness definition and estimation. To address this, this paper introduces the concept of generalized stiffness, extending the definition of stiffness to nonlinear time-varying grasp system models, and proposes an online generalized stiffness estimator based on Long Short-Term Memory (LSTM) networks. Based on generalized stiffness, this paper proposes an adaptive parameter adjustment strategy using a PI controller as an example, enabling dynamic force tracking for objects with varying characteristics. Experimental results demonstrate that the proposed method achieves high precision and short probing time, while showing better adaptability to non-ideal objects compared to existing methods. The method effectively solves the problem of grasp force tracking in unknown, nonlinear, and time-varying grasp systems, enhancing the robotic grasping ability in unstructured environments.

I explain Artificial Intelligence terms and news to non-experts. I'm sure you've all clicked on a video thumbnail from the slow mo guys to see water floating in the air when popping a water balloon or other super cool-looking "slow-mos" made with extremely expensive cameras. Now, we are lucky enough to be able to do something not really comparable but still quite cool with our phones. What if you could reach the same quality without such an expensive setup? Well, that's exactly what Time Lens, a new model published by Tulyakov et al. can do with extreme precision.

Eric Sondheimer has been covering high school sports for the Los Angeles Times since 1997 and in Southern California since 1976. Get his latest from the field and follow all our prep sports coverage and analysis here. The Southern Section Division 1 track and field preliminary meet at Trubuco Hills High School on Saturday featured a water balloon attack from a lone drone. Near the start of the meet, around 11:30 a.m., a group of people positioned themselves on the hill above the track and allegedly flew a drone carrying water balloons over the track. One race official remarked that the water balloons were completely decimated upon impact.

It is one of the biggest sites in the world with over a billion users, but YouTube began life as a dating site, one its co-founders has revealed. Steve Chen, speaking at the South by Southwest in Austin to launch his news food video site Nom, said it was conceived on Valentine's day - but five days later, had not attracted a single user. 'We always thought there was something with video there, but what would be the actual practical application?' he said. 'We thought dating would be the obvious choice.' YouTube founders Steve Chen (left) and Chad Hurley: Speaking at the South by Southwest in Austin to launch his news food video site Nom, Chen said it was conceived on Valentine's day - but five days later, had not attracted a single user.